voice

Convert voice messages to text and generate spoken responses.

31|10|Updated Dec 10, 2025

Search Tags:#speech recognition #transcription #text to speech #voice to text #voice communication

Ready to run

npx skills add https://github.com/yazelin/ching-tech-os --skill voice-yazelin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: voice
Source: https://github.com/yazelin/ching-tech-os/tree/main/extends/voice/skills/voice
Command: npx skills add https://github.com/yazelin/ching-tech-os --skill voice-yazelin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires mcp__ching-tech-os__text_to_speech, and includes scripts (resource) components.

What problem does it solve?

This Skill streamlines the process of converting voice messages into text and generating spoken responses, enhancing communication efficiency.

Core Features & Use Cases

Voice to Text: Converts voice messages into readable text for easier processing and analysis.
Text to Speech: Generates spoken responses using various voice engines.
Use Case: Imagine you receive a voice message from a client. Use this Skill to transcribe the message into text and generate a spoken response for a follow-up.

Quick Start

Use the voice skill to transcribe the voice message 'client-conversation.mp3' and generate a spoken response.

Frequently Asked Questions about voice

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert voice messages to text for automated transcription?▼

Voice-to-text transcription converts spoken audio messages into readable text using speech recognition technology. This Skill processes audio files like voice messages and outputs text for easier analysis, enabling automated transcription for customer service or personal assistant applications.

What's the best way to generate spoken responses from text?▼

Text-to-speech synthesis generates spoken audio responses from written text using voice engines. This Skill leverages the mcp__ching-tech-os__text_to_speech dependency to convert text into natural spoken responses, supporting voice communication workflows and automated reply generation.

Can I use this voice transcription Skill for customer service applications?▼

Yes, voice transcription suits customer service scenarios by converting client voice messages into text for processing and generating spoken follow-up responses. The Skill handles both speech-to-text and text-to-speech, enabling automated voice communication workflows in service environments.

Does this Skill work with audio files like MP3 for speech recognition?▼

The Skill processes audio files such as MP3 recordings for speech recognition and transcription. As demonstrated in the quick start, it can transcribe files like 'client-conversation.mp3' into text and then generate a spoken response using text-to-speech synthesis capabilities.

Do I need any specific dependencies to run text-to-speech functionality?▼

Yes, the Skill requires the mcp__ching-tech-os__text_to_speech dependency to generate spoken responses. This component provides the text synthesis capabilities needed for the text-to-speech conversion, while speech recognition handles the voice-to-text transcription side of the workflow.

What are the limitations of automated voice-to-text and text-to-speech conversion?▼

Automated voice conversion depends on audio clarity for accurate speech recognition transcription. The Skill is designed for standard voice messages and customer service scenarios, but transcription quality may vary with background noise, accents, or heavily compressed audio formats processed through the available speech recognition and synthesis engines.